Vadalog

The Vadalog system is a Knowledge Graph Management System (KGMS) that offers a language for performing complex logic reasoning tasks over knowledge graphs. At the same time, Vadalog delivers a platform to support the entire spectrum of data science tasks: data integration, pre-processing, statistical analysis, machine learning, algorithmic modeling, probabilistic reasoning and temporal reasoning. Its language is based on an extension of the rule-based language Datalog, Warded Datalog±, a high-performance language using an aggressive termination control strategy. Vadalog can support the entire spectrum of data science activities and tools. The system can read from and connect to multiple sources, from relational databases, such as PostgreSQL and MySQL, to graph databases, such as Neo4j, as well as make use of machine learning tools (e.g., Weka and scikit-learn), and a web data extraction tool, OXPath. Additional Python libraries and extensions can also be easily integrated into the system. Vadalog is the result of a joint effort between University of Oxford, the Knowledge Graph Lab of Technische Universität Wien and Bank of Italy. A knowledge graph management system (KGMS) has to manage knowledge graphs, which incorporate large amounts of data in the form of facts and relationships. In general, it can be seen as the union of three components: KBMS, that is, a knowledge base management system, Big Data, which is the need of handling large amounts of data, especially when considering that knowledge graphs have been thought as a solution for integrating multiple data sources, both corporate and public knowledge, which can be integrated into large knowledge graphs, (Data) Analytics is the need to provide access to existing software packages for machine learning, text mining, data analytics, and data visualization and to combine them together in the same platform.